淡江大學機構典藏:Item 987654321/121318
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    题名: Optimal Confidence Interval for the Largest Exponential Location Parameter
    作者: Shun-Yi Chen;Chih-Chun Tsai;Hubert J. Chen;Su-Hao Lee
    关键词: Expected length;Exponential distribution;Least favorable configuration;Censored sample
    日期: 2020-03-11
    上传时间: 2021-09-24 12:12:04 (UTC+8)
    出版者: Taylor & Francis Inc.
    摘要: A single sampling procedure is proposed for obtaining an optimal confidence interval for the largest location parameter of several k independent exponential populations in the cases of known and unknown common scale parameter, where “optimal” is defined in the sense of minimal expected interval width and best allocation at a fixed confidence. The optimal result can be applied to type II censored samples. Tables of percentage points are provided for practitioners.
    關聯: Communications in Statistics - Simulation and Computation
    DOI: 10.1080/03610918.2020.1733608
    显示于类别:[數學學系暨研究所] 期刊論文

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